Abstract—Its well known that understanding human facial
expressions is a key component in understanding emotions and
finds broad applications in the field of human-computer
interaction (HCI), has been a long-standing issue. In this paper,
we shed light on the utilisation of a deep convolutional neural
network (DCNN) for facial emotion recognition from videos
using the TensorFlow machine-learning library from Google.
This work was applied to ten emotions from the Amsterdam
Dynamic Facial Expression Set-Bath Intensity Variations
(ADFES-BIV) dataset and tested using two datasets.